Dell Inc. Precision 7960 Tower
Geekbench AI Score
31359
Single Precision Score
44405
Half Precision Score
24362
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Kazumizi |
| Upload Date | August 30 2025 10:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 5000 Ada Generation |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Dell Inc. Precision 7960 Tower |
| Motherboard | Dell Inc. 01G0M6 |
| CPU Information | |
|---|---|
| Name | Intel Xeon w9-3495X |
| Topology | 1 Processor, 56 Cores, 112 Threads |
| Identifier | GenuineIntel Family 6 Model 143 Stepping 8 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11740
2.18 KIPS |
|
|
Image Classification (HP)
|
99% |
15657
2.92 KIPS |
|
|
Image Classification (Q)
|
100% |
10254
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22223
360.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
28027
454.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
20078
326.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
238086
277.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
463227
540.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
210973
247.2 IPS |
|
|
Object Detection (SP)
|
100% |
15623
1.24 KIPS |
|
|
Object Detection (HP)
|
100% |
20787
1.65 KIPS |
|
|
Object Detection (Q)
|
85% |
13234
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
43891
521.5 IPS |
|
|
Face Detection (HP)
|
100% |
57403
682.1 IPS |
|
|
Face Detection (Q)
|
97% |
37629
448.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
78863
607.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
135301
1.04 KIPS |
|
|
Depth Estimation (Q)
|
78% |
59515
475.4 IPS |
|
|
Style Transfer (SP)
|
100% |
383313
492.8 IPS |
|
|
Style Transfer (HP)
|
100% |
832565
1.07 KIPS |
|
|
Style Transfer (Q)
|
98% |
337623
435.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
50404
1.86 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
66536
2.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37969
1.41 KIPS |
|
|
Text Classification (SP)
|
100% |
3009
4.02 KIPS |
|
|
Text Classification (HP)
|
99% |
3583
4.78 KIPS |
|
|
Text Classification (Q)
|
97% |
1911
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
4710
81.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4577
79.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2336
43.8 IPS |
